Best AI tools for< Find Data On Geosciences In Brazil >

Landbase is an AI-powered platform that offers competitive Go-To-Market (GTM) insights for businesses. Users can search for any company and receive AI-powered overviews within seconds. The platform provides tools, guides, and more to help businesses prepare for their market strategies. Landbase offers features such as sentiment analysis, digital trust scoring, omnichannel lead generation, and automation of sales pipelines. With Landbase, users can unlock key data points and receive AI-powered analysis for their organizations, enabling them to focus on generating high-ticket leads and delivering exceptional service to customers.

Ocular is an AI-powered search platform that allows users to search, visualize, and take action on their work and engineering tools and data on one unified platform. It is designed to help engineers work more efficiently and effectively by providing them with a single, central location to access all of their relevant information.

Inven is an AI-powered company data platform that helps professionals in private equity, investment banking, business brokerage, consulting, and corporate development find companies faster and more efficiently. With Inven, users can access a database of over 23 million companies and 430 million contacts in over 160 countries. Inven's AI algorithms and NLP solutions analyze millions of data points from a wide range of sources to give users actionable insights on any niche.

WinningHunter is a powerful product research tool that helps you find winning products to sell online. It has a variety of features that make it easy to find products that are trending, have high sales volume, and are likely to be profitable. WinningHunter also provides data on ad spend, revenue, and other metrics to help you make informed decisions about which products to sell.

Hints is a sales AI assistant that helps sales reps to get more hours in a day while keeping CRM data accurate automatically. It works with Salesforce, Hubspot, and Pipedrive. With Hints, sales reps can log and retrieve CRM data on any device with chat and voice, get guidance on their next steps, and reminders of what's missing. Hints can also help sales reps to create complex CRM updates in seconds, find duplicates, suggest actions, automatically create associations, and look up sales data through chat and voice commands. Hints can assist sales reps in building the perfect sales process for their team and provides fast onboarding for new sales reps.

Apollo is a Sales Intelligence and Engagement Platform that offers a comprehensive suite of tools to help sales teams find leads, engage with prospects, manage deals, and improve performance. Powered by AI, Apollo provides accurate data on millions of contacts and companies, enabling users to streamline operations, automate tasks, and make data-driven decisions. With features like Contact & Account Search, Sales Engagement, Conversation Intelligence, and Workflow Engine, Apollo empowers sales professionals to boost productivity and close deals effectively. The platform caters to various roles in sales and marketing, offering insights, recommendations, and actionable feedback to drive revenue growth and success.

My Travel Brain is an AI-powered travel planning tool that helps users discover, plan, and book their perfect getaway. The tool uses AI to analyze data on flight prices, hotel availability, and weather conditions to help users find the best deals and travel at the optimal time. My Travel Brain also provides users with personalized recommendations based on their preferences and budget.

Tremello is a market research platform that uses AI to deliver off-market data. It combines a leading AI engine with human experts to provide bespoke intelligence delivered directly to the user's inbox. Tremello's AI analyzes relationships, identifies patterns, and considers the broader context, delivering meaningful and actionable insights on top of a base human layer. It leverages a diverse range of data sources, including public and private databases, industry reports, social media archives, company websites, and government filings, ensuring a complete and comprehensive picture of the research subject.

ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) is a research center focusing on Data Science, Artificial Intelligence, and Big Data with locations in Dresden and Leipzig. It is one of the five new AI centers in Germany funded under the federal government's AI strategy by the Federal Ministry of Education and Research and the Free State of Saxony. The center collaborates closely with TUD Dresden University of Technology and Leipzig University, aiming to bridge the gap between mass data utilization, knowledge management, and advanced AI methods.

Jsonify is an AI tool that automates the process of exploring and understanding websites to find, filter, and extract structured data at scale. It uses AI-powered agents to navigate web content, replacing traditional data scrapers and providing data insights with speed and precision. Jsonify integrates with leading data analysis and business intelligence suites, allowing users to visualize and gain insights into their data easily. The tool offers a no-code dashboard for creating workflows and easily iterating on data tasks. Jsonify is trusted by companies worldwide for its ability to adapt to page changes, learn as it runs, and provide technical and non-technical integrations.

TimeToTok is an AI Copilot and Agent designed to help TikTok creators grow their audience and engagement. By analyzing millions of viral TikTok videos worldwide, TimeToTok provides personalized insights and suggestions to optimize posting times, create viral content, boost views, promote interaction, and track competitors. With a focus on data-driven growth strategies and LLM AI technology, TimeToTok aims to make TikTok growth easy and effective for creators of all levels.

Wrangle is an AI-powered job search and resume builder platform designed to help job seekers find jobs faster and more efficiently. The platform offers personalized AI copilot assistance, extensive job information, resume creation tools, job tracking features, and a learning algorithm to improve job matches. Wrangle provides a user-friendly experience with a focus on data security and no ads or subscriptions.

Qatalog is a business search engine that provides real-time access to data across various company systems and applications. It uses natural language processing and machine learning to understand user queries and deliver relevant results from multiple data sources. Qatalog eliminates the need to search through multiple systems and applications, saving employees time and improving productivity.

CSV-GPT is an AI tool that allows users to analyze CSV files instantly using the powerful GPT4 model. It provides a user-friendly interface for a wide range of data analysis tasks, from calculating averages to finding correlations. The tool is designed to streamline the data analysis process and provide accurate insights quickly and efficiently. With CSV-GPT, users can make informed decisions based on data-driven analysis without the need for complex coding or manual calculations.

Sequel is an AI-powered longevity assistant that provides personalized health insights by integrating various health data sources. It offers therapy suggestions, supplement advice, and more based on individual health profiles. Sequel prioritizes data privacy by processing data locally on the user's device or utilizing OpenAI models without compromising privacy.

SalesMirror.ai is a real-time prospecting software that helps businesses find leads and make connections. It offers a variety of features, including email finder and verifier, local and SaaS lead finder, investor finder, and technology finder. SalesMirror.ai has over 250 million data points on companies and decision makers, and it provides unlimited, real-time search. With its affordable pricing and real-time systems, SalesMirror.ai is a great choice for businesses of all sizes.

Accorata is an AI deal sourcing platform designed for early-stage investors. It helps investors navigate the crowded market by quickly finding and verifying investment opportunities that align with their investment thesis. The platform offers lightning-fast startup signals, automated processing of incoming deals, AI-boosted founder due diligence, and data stored on secure servers. Accorata is trusted by over 50 early-stage investors and offers different pricing plans tailored to the needs of different users.

vHub.ai is an AI-powered Influencer Marketing SaaS Platform that offers a comprehensive suite of tools to streamline influencer marketing campaigns. With features like in-depth influencer insights, authenticity assurance, instant campaign analytics, effortless influencer coordination, and tailor-made campaign strategies, vHub.ai aims to revolutionize the way brands collaborate with influencers. The platform boasts a database of 5 million influencers and 100's of influencer marketing agencies, providing users with the perfect influencer at optimal pricing. By leveraging AI search engine capabilities and VQS (vHub Quality Score), vHub.ai ensures genuine connections and successful influencer partnerships. Users can track campaign performance in real-time, manage all types of campaigns, and customize strategies with precision. With a focus on data-driven influencer discovery, authentic campaigns, custom success campaigns, ROI-driven marketing, and streamlined campaign management, vHub.ai empowers brands to maximize their influencer marketing ROI and reach.

Selectric is a private search tool designed for Outlook, Gmail, Drive, Slack, and more. It aims to reduce the time spent searching by providing an efficient search function. The tool is AI-powered, focusing on enhancing productivity for knowledge workers. Selectric prioritizes privacy and security, ensuring that user data remains under their control. It offers secure search functionality, with AI processing data locally on the user's device. The tool integrates seamlessly with everyday apps, providing quick access to data across different platforms.

Shieldbase is an AI-powered enterprise search tool designed to provide secure and efficient search capabilities for businesses. It utilizes advanced artificial intelligence algorithms to index and retrieve information from various data sources within an organization, ensuring quick and accurate search results. With a focus on security, Shieldbase offers encryption and access control features to protect sensitive data. The platform is user-friendly and customizable, making it easy for businesses to implement and integrate into their existing systems. Shieldbase enhances productivity by enabling employees to quickly find the information they need, ultimately improving decision-making processes and overall operational efficiency.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

K2 (GeoLLaMA) is a large language model for geoscience, trained on geoscience literature and fine-tuned with knowledge-intensive instruction data. It outperforms baseline models on objective and subjective tasks. The repository provides K2 weights, core data of GeoSignal, GeoBench benchmark, and code for further pretraining and instruction tuning. The model is available on Hugging Face for use. The project aims to create larger and more powerful geoscience language models in the future.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

This repository contains a curated list of cutting-edge works in Simultaneous Localization and Mapping (SLAM). It includes research papers, projects, and tools related to various aspects of SLAM, such as 3D reconstruction, semantic mapping, novel algorithms, large-scale mapping, and more. The repository aims to showcase the latest advancements in SLAM technology and provide resources for researchers and practitioners in the field.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Lobe Chat is an open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible ([function call][docs-functionc-call]) plugin system. One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application.

AgentQL is a suite of tools for extracting data and automating workflows on live web sites featuring an AI-powered query language, Python and JavaScript SDKs, a browser-based debugger, and a REST API endpoint. It uses natural language queries to pinpoint data and elements on any web page, including authenticated and dynamically generated content. Users can define structured data output and apply transforms within queries. AgentQL's natural language selectors find elements intuitively based on the content of the web page and work across similar web sites, self-healing as UI changes over time.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

Cambrian-1 is a fully open project focused on exploring multimodal Large Language Models (LLMs) with a vision-centric approach. It offers competitive performance across various benchmarks with models at different parameter levels. The project includes training configurations, model weights, instruction tuning data, and evaluation details. Users can interact with Cambrian-1 through a Gradio web interface for inference. The project is inspired by LLaVA and incorporates contributions from Vicuna, LLaMA, and Yi. Cambrian-1 is licensed under Apache 2.0 and utilizes datasets and checkpoints subject to their respective original licenses.

The URL/API Source is a plugin for OBS Studio that allows users to add a media source fetching data from a URL or API endpoint and displaying it as text. It supports input and output templating, various request types, output parsing (JSON, XML/HTML, Regex, CSS selectors), live data updating, output styling, and formatting. Future features include authentication, websocket support, more parsing options, request types, and output formats. The plugin is cross-platform compatible and actively maintained by the developer. Users can support the project on GitHub.

Especialista em Geociências no Brasil, usando dados da CAPES.

This chatbot answers questions about the CDC’s Chronic Disease Indicators dataset

Opa! Cole o texto da sua reportagem ou trecho para que eu possa analisá-la com base em manuais de uso de dados em textos jornalísticos.

日本国内のオープンデータを検索できます

Regal statistician with exhaustive data on all topics.

A Data Science interviewer

Resources based on historical transactions

AI and Data Science news curator providing latest updates and insights.

EXPERIMENT - Friendly expert on NYC dog license data from 2015-2016, with info on names, breeds and boroughs

Chat-driven supply chain wisdom powered by live data and trained on news, tutorials and resources.

Expert in various online reselling platforms. Reseller Buddy is trained on tons of data about reselling. eBay, Amazon, Etsy, Poshmark and more. Please consider rating Reseller Buddy if you find any value in it.

I assist with finding businesses on Yellowpages, providing factual and updated information.

Got points to spend? Get expert advice on how to find and book flights in business class for credit card points and miles, from USA or Canada.

Helps find and analyze ML papers, focusing on SOTA comparisons.

Help users find the most suitable app among 80,000+GPTs on GPTs Focus

Conduct various flexible analyses and inquiries based on official information about companies with work visa sponsorship qualifications.

Analyzes fishing data to suggest plans based on trends.

Fetches IMDb ratings for movies on request.

Friendly GPT suggesting trending movies with TMDB data, focusing on key details and avoiding spoilers.

Receive trusted and up-to-date information on the metaverse and spatial computing, sourced from a curated database by Tom Ffiske. Updated weekly with the latest data, and current in Beta.